Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Emanuele Fabbiani"'
Autor:
Maurizio Polano, Emanuele Fabbiani, Eva Andreuzzi, Federica Di Cintio, Luca Bedon, Davide Gentilini, Maurizio Mongiat, Tamara Ius, Mauro Arcicasa, Miran Skrap, Michele Dal Bo, Giuseppe Toffoli
Publikováno v:
Cells, Vol 10, Iss 3, p 576 (2021)
Gliomas are the most common primary neoplasm of the central nervous system. A promising frontier in the definition of glioma prognosis and treatment is represented by epigenetics. Furthermore, in this study, we developed a machine learning classifica
Externí odkaz:
https://doaj.org/article/0ae2d1106c164a4b8a8c848a6b78b1db
Autor:
Jean-Sebastien Brouillon, Emanuele Fabbiani, Pulkit Nahata, Keith Moffat, Florian Dorfler, Giancarlo Ferrari-Trecate
Publikováno v:
IEEE Transactions on Smart Grid, 14 (2)
The increasing integration of renewable energy requires a good model of the existing power distribution infrastructure, represented by its admittance matrix. However, a reliable estimate may either be missing or quickly become obsolete, as distributi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ecf4fa1684a216c17b714b2976eb57b
https://doi.org/10.1109/tsg.2022.3211546
https://doi.org/10.1109/tsg.2022.3211546
Autor:
Jean-Sebastien Brouillon, Emanuele Fabbiani, Pulkit Nahata, Florian Dorfler, Giancarlo Ferrari-Trecate
Publikováno v:
2021 60th IEEE Conference on Decision and Control (CDC)
The increasing integration of intermittent renewable generation, especially at the distribution level, necessitates advanced planning and optimisation methodologies contingent on the knowledge of the admittance matrix, capturing the topology and line
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d00effedd37b8bab65d2763d8fa5dbd6
https://doi.org/10.1109/cdc45484.2021.9683503
https://doi.org/10.1109/cdc45484.2021.9683503
Autor:
Luca Bedon, Erika Cecchin, Emanuele Fabbiani, Michele Dal Bo, Angela Buonadonna, Maurizio Polano, Giuseppe Toffoli
Publikováno v:
Clinical pharmacology and therapeutics. 111(3)
Machine learning (ML) algorithms have been used to forecast clinical outcomes or drug adverse effects by analyzing different data sets such as electronic health records, diagnostic data, and molecular data. However, ML implementation in phase I clini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8f738e916c2c237b268cdcde4ea059f
https://pubmed.ncbi.nlm.nih.gov/34905217
https://pubmed.ncbi.nlm.nih.gov/34905217
Publikováno v:
Scopus-Elsevier
Gas demand forecasting is a critical task for energy providers as it impacts on pipe reservation and stock planning. In this paper, the one-day-ahead forecasting of residential gas demand at country level is investigated by implementing and comparing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::421a924fbc9159541e6baa89f031477e
https://doi.org/10.1504/ijogct.2021.10035081
https://doi.org/10.1504/ijogct.2021.10035081
Publikováno v:
Software Impacts. 6:100043
The Python package vanilla-option-pricing implements procedures to price European vanilla options under the Black framework, using different stochastic models for the underlying asset. Currently, the geometric Brownian motion, the Ornstein–Uhlenbec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f35d3553f937de270a13c55469a357cf
https://doi.org/10.1016/j.simpa.2020.100043
https://doi.org/10.1016/j.simpa.2020.100043
The increasing penetration of intermittent distributed energy resources in power networks calls for novel planning and control methodologies which hinge on detailed knowledge of the grid. However, reliable information concerning the system topology a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8210d83b523ef86eae359be3f699b64
https://infoscience.epfl.ch/record/290944
https://infoscience.epfl.ch/record/290944
